Professor Hui Xiong, Associate Graduate Faculty member of Computer Science, has been named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) for outstanding contributions to data mining and mobile computing.
The IEEE Grade of Fellow is conferred by the IEEE Board of Directors upon a person with an outstanding record of accomplishments in any of the IEEE fields of interest. The total number selected in any one year cannot exceed 0.1 percent of the total voting membership. IEEE Fellow is the highest grade of membership and is recognized by the technical community as a prestigious honor and an important career achievement.
Dr. Xiong's has made fundamental theoretical contributions to data mining and business intelligence. His seminal research on sequential data analysis provides the solution to uncover hidden temporal structures in high-dimensional event sequences. This work effectively addressed the problem of “curse of cardinality” and opens up wide possibilities in mining sequential data with powerful mathematical tools otherwise inapplicable and revolutionizes the way symbolic sequences are visualized and clustered. Moreover, his research has a broad perspective that encompasses not only academic excellence, but also focuses on business, industry and societal impact. His work on mobile recommender systems has led to new learning paradigms and new business models as witnessed by the success of mobile service companies, such as Uber, which becomes notable after his published research in 2011. As a recognition of his research excellence in the field, seven of his PhD graduates have become tenure-track professors in major research universities, such as University of Arizona and University of Tennessee. For his outstanding contributions to data mining and mobile computing, he was elected an ACM Distinguished Scientist in 2014.
